A weight optimization-based transfer learning approach for plant disease detection of New Zealand vegetables
(2022)
Journal Article
Saleem, M. H., Potgieter, J., & Arif, K. M. (2022). A weight optimization-based transfer learning approach for plant disease detection of New Zealand vegetables. Frontiers in Plant Science, 13, https://doi.org/10.3389/fpls.2022.1008079
All Outputs (4)
A Performance-Optimized Deep Learning-Based Plant Disease Detection Approach for Horticultural Crops of New Zealand (2022)
Journal Article
Saleem, M. H., Potgieter, J., & Arif, K. M. (2022). A Performance-Optimized Deep Learning-Based Plant Disease Detection Approach for Horticultural Crops of New Zealand. IEEE Access, 10, 89798-89822. https://doi.org/10.1109/access.2022.3201104Deep learning-based plant disease detection has gained significant attention from the scientific community. However, various aspects of real horticultural conditions have not yet been explored. For example, the disease should be considered not only o... Read More about A Performance-Optimized Deep Learning-Based Plant Disease Detection Approach for Horticultural Crops of New Zealand.
Weed Detection by Faster RCNN Model: An Enhanced Anchor Box Approach (2022)
Journal Article
Saleem, M. H., Potgieter, J., & Arif, K. M. (in press). Weed Detection by Faster RCNN Model: An Enhanced Anchor Box Approach. Agronomy, 12(7), 1580. https://doi.org/10.3390/agronomy12071580To apply weed control treatments effectively, the weeds must be accurately detected. Deep learning (DL) has been quite successful in performing the weed identification task. However, various aspects of the DL have not been explored in previous studie... Read More about Weed Detection by Faster RCNN Model: An Enhanced Anchor Box Approach.
Weed Identification by Single-Stage and Two-Stage Neural Networks: A Study on the Impact of Image Resizers and Weights Optimization Algorithms (2022)
Journal Article
Saleem, M. H., Velayudhan, K. K., Potgieter, J., & Arif, K. M. (in press). Weed Identification by Single-Stage and Two-Stage Neural Networks: A Study on the Impact of Image Resizers and Weights Optimization Algorithms. Frontiers in Plant Science, 13, https://doi.org/10.3389/fpls.2022.850666The accurate identification of weeds is an essential step for a site-specific weed management system. In recent years, deep learning (DL) has got rapid advancements to perform complex agricultural tasks. The previous studies emphasized the evaluation... Read More about Weed Identification by Single-Stage and Two-Stage Neural Networks: A Study on the Impact of Image Resizers and Weights Optimization Algorithms.